Thursday, May 28, 2015

 

 



Soy un nuevo usuario

Olvidé mi contraseña

Entrada usuarios

Lógica Matemáticas Astronomía y Astrofísica Física Química Ciencias de la Vida
Ciencias de la Tierra y Espacio Ciencias Agrarias Ciencias Médicas Ciencias Tecnológicas Antropología Demografía
Ciencias Económicas Geografía Historia Ciencias Jurídicas y Derecho Lingüística Pedagogía
Ciencia Política Psicología Artes y Letras Sociología Ética Filosofía


Vector Field Analysis and Visualization through Variational Clustering

1) La descarga del recurso depende de la página de origen
2) Para poder descargar el recurso, es necesario ser usuario
    registrado en Universia


  Descargar recurso   Descargar recurso

Detalles del recurso

Pertenece a: Caltech Authors  

Descripción: Scientic computing is an increasingly crucial component of research in various disciplines. Despite its potential, exploration of the results is an often laborious task, owing to excessively large and verbose datasets output by typical simulation runs. Several approaches have been proposed to analyze, classify, and simplify such data to facilitate an informative visualization and deeper understanding of the underlying system. However, traditional methods leave much room for improvement. In this article we investigate the visualization of large vector elds, departing from accustomed processing algorithms by casting vector eld simplication as a variational partitioning problem. Adopting an iterative strategy, we introduce the notion of vector ieproxiesln to minimize the distortion error of our simplifiation by clustering the dataset into multiple best-fitting characteristic regions. This error driven approach can be performed with respect to various similarity metrics, offering a convenient set of tools to design clear and succinct representations of high dimensional datasets. We illustrate the benefits of such tools through visualization experiments of three-dimensional vector fields.

Autor(es): McKenzie, Alexander -  Lombeyda, Santiago -  Desbrun, Mathieu - 

Id.: 54786426

Versión: 1.0

Estado: Final

Tipo:  application/pdf -  image/png - 

Tipo de recurso: Conference or Workshop Item  -  PeerReviewed  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

Formatos:  application/pdf -  image/png - 

Requerimientos técnicos:  Browser: Any - 

Relación: [References] http://resolver.caltech.edu/CaltechCACR:2005.106
[References] http://authors.library.caltech.edu/28214/

Fecha de contribución: 27-dic-2012

Contacto:

Localización:
* McKenzie, Alexander and Lombeyda, Santiago and Desbrun, Mathieu (2005) Vector Field Analysis and Visualization through Variational Clustering. In: Eurographics - IEEE VGTC Symposium on Visualization 2005, 1-3 June, 2005, Leeds, UK. (Submitted) http://resolver.caltech.edu/CaltechCACR:2005.106


Otros recursos de la misma colección

  1. Coronagraph focal-plane phase masks based on photonic crystal technology: recent progress and observational strategy Photonic crystal, an artificial periodic nanostructure of refractive indices, is one of the attracti...
  2. Improving Signal to Noise in the Direct Imaging of Exoplanets and Circumstellar Disks We present a new algorithm designed to improve the signal to noise ratio (SNR) of point and extended...
  3. WISE J061213.85-303612.5: a new T-dwarf binary candidate Context. T and Y-dwarfs are among the coolest and least luminous objects detected, and they can help...
  4. An experimental apparatus for observing deterministic structure formation in plate-on-pedestal ice crystal growth We describe an experimental apparatus for making detailed morphological observations of the growth o...
  5. A polynomial time algorithm for the ground state of 1D gapped local Hamiltonians Computing ground states of local Hamiltonians is a fundamental problem in condensed matter physics. ...

Valoración de los usuarios

No hay ninguna valoración para este recurso.Sea el primero en valorar este recurso.
 

Busque un recurso